diff --git a/providers/apache/beam/src/airflow/providers/apache/beam/operators/beam.py b/providers/apache/beam/src/airflow/providers/apache/beam/operators/beam.py
index d1e3bcd411064..85d858ff45cdf 100644
--- a/providers/apache/beam/src/airflow/providers/apache/beam/operators/beam.py
+++ b/providers/apache/beam/src/airflow/providers/apache/beam/operators/beam.py
@@ -34,9 +34,9 @@
 
 from airflow.configuration import conf
 from airflow.exceptions import AirflowException, AirflowOptionalProviderFeatureException
-from airflow.models import BaseOperator
 from airflow.providers.apache.beam.hooks.beam import BeamHook, BeamRunnerType
 from airflow.providers.apache.beam.triggers.beam import BeamJavaPipelineTrigger, BeamPythonPipelineTrigger
+from airflow.providers.apache.beam.version_compat import BaseOperator
 from airflow.providers_manager import ProvidersManager
 from airflow.utils.helpers import convert_camel_to_snake, exactly_one
 from airflow.version import version
@@ -214,7 +214,8 @@ def dataflow_job_id(self, new_value):
         if all([new_value, not self._dataflow_job_id, self._execute_context]):
             # push job_id as soon as it's ready, to let Sensors work before the job finished
             # and job_id pushed as returned value item.
-            self.xcom_push(context=self._execute_context, key="dataflow_job_id", value=new_value)
+            # Use task instance to push XCom (works for both Airflow 2.x and 3.x)
+            self._execute_context["ti"].xcom_push(key="dataflow_job_id", value=new_value)
         self._dataflow_job_id = new_value
 
     def _cast_dataflow_config(self):
diff --git a/providers/apache/beam/src/airflow/providers/apache/beam/version_compat.py b/providers/apache/beam/src/airflow/providers/apache/beam/version_compat.py
new file mode 100644
index 0000000000000..6756c5b297327
--- /dev/null
+++ b/providers/apache/beam/src/airflow/providers/apache/beam/version_compat.py
@@ -0,0 +1,42 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Version compatibility for Apache Beam provider."""
+
+from __future__ import annotations
+
+
+def get_base_airflow_version_tuple() -> tuple[int, int, int]:
+    from packaging.version import Version
+
+    from airflow import __version__
+
+    airflow_version = Version(__version__)
+    return airflow_version.major, airflow_version.minor, airflow_version.micro
+
+
+AIRFLOW_V_3_1_PLUS = get_base_airflow_version_tuple() >= (3, 1, 0)
+
+if AIRFLOW_V_3_1_PLUS:
+    from airflow.sdk import BaseOperator
+else:
+    from airflow.models import BaseOperator
+
+__all__ = [
+    "AIRFLOW_V_3_1_PLUS",
+    "BaseOperator",
+]
diff --git a/providers/apache/beam/tests/unit/apache/beam/operators/test_beam.py b/providers/apache/beam/tests/unit/apache/beam/operators/test_beam.py
index d03cde557767f..1616f11803202 100644
--- a/providers/apache/beam/tests/unit/apache/beam/operators/test_beam.py
+++ b/providers/apache/beam/tests/unit/apache/beam/operators/test_beam.py
@@ -116,25 +116,24 @@ def test_async_execute_logging_should_execute_successfully(self, caplog):
         assert f"{TASK_ID} completed with response Pipeline has finished SUCCESSFULLY" in caplog.text
 
     def test_early_dataflow_id_xcom_push(self, default_options, pipeline_options):
-        with mock.patch.object(BeamBasePipelineOperator, "xcom_push") as mock_xcom_push:
-            op = BeamBasePipelineOperator(
-                **self.default_op_kwargs,
-                default_pipeline_options=copy.deepcopy(default_options),
-                pipeline_options=copy.deepcopy(pipeline_options),
-                dataflow_config={},
-            )
-            sample_df_job_id = "sample_df_job_id_value"
-            op._execute_context = MagicMock()
-
-            assert op.dataflow_job_id is None
-
-            op.dataflow_job_id = sample_df_job_id
-            mock_xcom_push.assert_called_once_with(
-                context=op._execute_context, key="dataflow_job_id", value=sample_df_job_id
-            )
-            mock_xcom_push.reset_mock()
-            op.dataflow_job_id = "sample_df_job_same_value_id"
-            mock_xcom_push.assert_not_called()
+        op = BeamBasePipelineOperator(
+            **self.default_op_kwargs,
+            default_pipeline_options=copy.deepcopy(default_options),
+            pipeline_options=copy.deepcopy(pipeline_options),
+            dataflow_config={},
+        )
+        sample_df_job_id = "sample_df_job_id_value"
+        # Mock the task instance with xcom_push method
+        mock_ti = MagicMock()
+        op._execute_context = {"ti": mock_ti}
+
+        assert op.dataflow_job_id is None
+
+        op.dataflow_job_id = sample_df_job_id
+        mock_ti.xcom_push.assert_called_once_with(key="dataflow_job_id", value=sample_df_job_id)
+        mock_ti.xcom_push.reset_mock()
+        op.dataflow_job_id = "sample_df_job_same_value_id"
+        mock_ti.xcom_push.assert_not_called()
 
 
 class TestBeamRunPythonPipelineOperator: